• Title/Summary/Keyword: Social Search

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Design and Implementation of Hashtag Recommendation System Based on Image Label Extraction using Deep Learning (딥러닝을 이용한 이미지 레이블 추출 기반 해시태그 추천 시스템 설계 및 구현)

  • Kim, Seon-Min;Cho, Dae-Soo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.4
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    • pp.709-716
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    • 2020
  • In social media, when posting a post, tag information of an image is generally used because the search is mainly performed using a tag. Users want to expose the post to many people by attaching the tag to the post. Also, the user has trouble posting the tag to be tagged along with the post, and posts that have not been tagged are also posted. In this paper, we propose a method to find an image similar to the input image, extract the label attached to the image, find the posts on instagram, where the label exists as a tag, and recommend other tags in the post. In the proposed method, the label is extracted from the image through the model of the convolutional neural network (CNN) deep learning technique, and the instagram is crawled with the extracted label to sort and recommended tags other than the label. We can see that it is easy to post an image using the recommended tag, increase the exposure of the search, and derive high accuracy due to fewer search errors.

Analysis of Smart Factory Research Trends Based on Big Data Analysis (빅데이터 분석을 활용한 스마트팩토리 연구 동향 분석)

  • Lee, Eun-Ji;Cho, Chul-Ho
    • Journal of Korean Society for Quality Management
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    • v.49 no.4
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    • pp.551-567
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    • 2021
  • Purpose: The purpose of this paper is to present implications by analyzing research trends on smart factories by text analysis and visual analysis(Comprehensive/ Fields / Years-based) which are big data analyses, by collecting data based on previous studies on smart factories. Methods: For the collection of analysis data, deep learning was used in the integrated search on the Academic Research Information Service (www.riss.kr) to search for "SMART FACTORY" and "Smart Factory" as search terms, and the titles and Korean abstracts were scrapped out of the extracted paper and they are organize into EXCEL. For the final step, 739 papers derived were analyzed using the Rx64 4.0.2 program and Rstudio using text mining, one of the big data analysis techniques, and Word Cloud for visualization. Results: The results of this study are as follows; Smart factory research slowed down from 2005 to 2014, but until 2019, research increased rapidly. According to the analysis by fields, smart factories were studied in the order of engineering, social science, and complex science. There were many 'engineering' fields in the early stages of smart factories, and research was expanded to 'social science'. In particular, since 2015, it has been studied in various disciplines such as 'complex studies'. Overall, in keyword analysis, the keywords such as 'technology', 'data', and 'analysis' are most likely to appear, and it was analyzed that there were some differences by fields and years. Conclusion: Government support and expert support for smart factories should be activated, and researches on technology-based strategies are needed. In the future, it is necessary to take various approaches to smart factories. If researches are conducted in consideration of the environment or energy, it is judged that bigger implications can be presented.

A Systemic Review of Self-Esteem Programs for Schizophrenic Individuals in South Korea (조현병 환자의 자아존중감을 위한 국내 프로그램 체계적 고찰)

  • Ju, Eun-Sol;Bang, Yo-Soon
    • Journal of The Korean Society of Integrative Medicine
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    • v.9 no.4
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    • pp.159-166
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    • 2021
  • Purpose : This study systematically assessed programs self-esteem programs for schizophrenic individuals that have been implemented over the past 10 years in South Korea, with the objective of providing clinical grounds and data for further programs that can be implemented in the Korean environment. Methods : For this study, a data search was conducted from 2012 to 2021, using search terms 'schizophrenia' AND 'self-esteem' among the studies registered in the RISS, KISS, Google Scholar, and National Library of Korea databases. A total of 988 studies were searched, and among them, 40 studies meeting the selection criteria had been taken by reviewing the titles and abstracts. After, 33 studies were excluded according to the exclusion criteria, and finally, the 7 studies were selected. Results : As a result, research into self-esteem programs for schizophrenic individuals has progressed steady, and most studies tend to be non-randomized controlled studies. All studies used the Self-Esteem Scale to evaluate self-esteem. All studies used the Self-Esteem Scale to evaluate self-esteem. The interventions of the selected studies were classified as were social skill programs, cognitive behavioral therapy programs, art therapy programs, and emotional management programs. And among them, the cognitive behavioral therapy programs were the most frequently used (42.8 %). Typically, the majority of the intervention sessions consisted of 11~15 sessions, the frequency of intervention was twice a week, and each session lasted 40~80 minutes were the most (each 57.1 %). In the programs for self-esteem, significant effects were reported for cognitive behavioral and art therapy programs, and there is no significant effect on social skill programs and emotional management programs. Conclusion : Future studies should expand the research scope, both domestically and internationally, and suggest more comprehensive conditions for a literature search by widening the research subject coverage.

Analysis of CSR·CSV·ESG Research Trends - Based on Big Data Analysis - (CSR·CSV·ESG 연구 동향 분석 - 빅데이터 분석을 중심으로 -)

  • Lee, Eun Ji;Moon, Jaeyoung
    • Journal of Korean Society for Quality Management
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    • v.50 no.4
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    • pp.751-776
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    • 2022
  • Purpose: The purpose of this paper is to present implications by analyzing research trends on CSR, CSV and ESG by text analysis and visual analysis(Comprehensive/ Fields / Years-based) which are big data analyses, by collecting data based on previous studies on CSR, CSV and ESG. Methods: For the collection of analysis data, deep learning was used in the integrated search on the Academic Research Information Service (www.riss.kr) to search for "CSR", "CSV" and "ESG" as search terms, and the Korean abstracts and keyword were scrapped out of the extracted paper and they are organize into EXCEL. For the final step, CSR 2,847 papers, CSV 395 papers, ESG 555 papers derived were analyzed using the Rx64 4.0.2 program and Rstudio using text mining, one of the big data analysis techniques, and Word Cloud for visualization. Results: The results of this study are as follows; CSR, CSV, and ESG studies showed that research slowed down somewhat before 2010, but research increased rapidly until recently in 2019. Research have been found to be heavily researched in the fields of social science, art and physical education, and engineering. As a result of the study, there were many keyword of 'corporate', 'social', and 'responsibility', which were similar in the word cloud analysis. Looking at the frequent keyword and word cloud analysis by field and year, overall keyword were derived similar to all keyword by year. However, some differences appeared in each field. Conclusion: Government support and expert support for CSR, CSV and ESG should be activated, and researches on technology-based strategies are needed. In the future, it is necessary to take various approaches to them. If researches are conducted in consideration of the environment or energy, it is judged that bigger implications can be presented.

Consumers Perceptions on Sodium Saccharin in Social Media (소셜미디어 분석을 통한 삭카린나트륨 소비자 인식 조사)

  • Lee, Sooyeon;Lee, Wonsung;Moon, Il-Chul;Kwon, Hoonjeong
    • Journal of Food Hygiene and Safety
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    • v.30 no.4
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    • pp.329-342
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    • 2015
  • The purpose of this study was to investigate consumers' perceptions of sodium saccharin in social media. Data was collected from Naver blogs and Naver web communities (Korean representative portal web-site), and media reports including comment sections on a Yonhap news website (Korean largest news agency). The results from Naver blogs and Naver web communities showed that it was primarily mentioned 'sodium saccharin-no added' products, properties of sodium saccharin, and methods of reducing sodium saccharin in food. When media reported the expansion of food categories permitted to use sodium saccharin, search volume for sodium saccharin has increased in both PC and mobile search engines. Also, it was mainly commented about distrust of government, criticism of food product price, and distrust of food companies below the news on the news site. The label of sodium saccharin-no added products in market emphasized "no added-sodium saccharin". These results suggest that consumers are interested in sodium saccharin and especially when media reported the expansion of food categories permitted to use it. Consumers were able to search various information on sodium saccharin except safety or acceptable daily intake through social media. Therefore media or competent authority should report item on sodium saccharin with information including safety or acceptable daily intake based on scientific background and reference or experts' interview for consumers to get reliable information.

Understanding Negative Electronic Word-of-Mouth(eWOM) : Social Ties and Key Determinants (부정적 eWOM에 대한 이해 : 사회적 연대와 핵심 요인)

  • Song, Seok-Woo;Sun, Jong-Hak
    • Korean Management Science Review
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    • v.28 no.3
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    • pp.95-112
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    • 2011
  • The Internet has generated a number of online review sites where dissatisfied consumers can easily articulate their opinions and comments on products or services. Little attention, however, has been directed to investigating the relationship between negative electronic word-of-mouth (eWOM) and its critical determinants that affect consumers' purchasing behaviors. This study attempts to explore the influence of the key determinants of consumers' negative eWOM behaviors, including their social relationships online. The results show that tie strength is positively associated with the proposed determinants, such as information credibility, external search efforts, and product involvement. Further, we find that perceived risk plays a mediating role in the relationship between consumers' intention to spread eWOM and its key determinants.

A Study on the Relationship among Communication Competency, Social Network Centralities, Discussion Performance, and Online Boarding Activity in the Team Based Learning (팀 기반 토의 수업에서 의사소통능력, 사회연결망 중심도, 토론성과 및 온라인 게시활동의 관계 연구)

  • Heo, Gyun
    • Journal of Fisheries and Marine Sciences Education
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    • v.27 no.1
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    • pp.108-114
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    • 2015
  • The purpose of this study is to find the relationships among communication competency, social network centrality(trust centrality and knowledge sharing centrality), discussion performance, and online boarding activity in the team based learning situation. For investigating this topic, 44 students are participated in the classes of educational technology. In order to find out the relationships among communication competency, social network centrality, discussion performance, and online boarding activity, compared t-test and path analysis are used. Followings are the results of the research: (a) Communication competency is improved significantly after team based learning. (b) Trust centrality effects significantly on the knowledge sharing centrality. (c) Knowledge sharing effects significantly on discussion performance. (d) Trust centrality effects on the online boarding activity in the team based learning.

Exploring Gender Differences in Motivations for Using Sina Weibo

  • Hwang, Ha Sung;Choi, Eun Kyoung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.3
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    • pp.1429-1441
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    • 2016
  • While Facebook and Twitter get worldwide attention, these popular SNSs are not available in China. As the leading local SNS, Sina Weibo has garnered much of the attention in China. The purpose of the study was to explore why Chinese college students use Sina Weibo and if gender differences exist in the motivations for using it. The results from a survey of 360 respondents show that Chinese students used Sina Weibo mainly for information-gathering, followed by accessibility to celebrity, social connection, self-presentation and entertainment. Among them the most dominant reason for using Sina Weibo was found to be information-gathering. This finding suggests that Sina Weibo functions as a platform to search for information on social issues and interests. The study also found that these motivations were significantly different between male and female users. Interestingly, female respondents used Sina Weibo much more broadly than male counterparts, accessing it to satisfy all needs such as information gathering, accessibility to celebrity, social connection, self-presentation and entertainment. Based on these findings limitations and direction for future studies are discussed.

Research of investigation of Dongnam Health College's dental technology students about health educator systems (보건교육사 제도에 대한 동남보건대학 치기공과 학생들의 인식조사)

  • Lee, Sun-Kyoung;Sung, Hwan-Kyung;Lee, Gyu-Sun
    • Journal of Technologic Dentistry
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    • v.32 no.3
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    • pp.233-240
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    • 2010
  • Objective: The purpose of this study was to research of investigation of dental technology students about health educator systems. Methods: A survey was performed on 102 subjects in March in 2010. There search tool was a structured questionnaire. The collected data was analyzed by frequency, descriptive, chi-square test and Pearson's correlation coefficient by Statistical Package for the Social Sciences version 12.0. Results: Respondent most did not know about health educator systems. But, positive opinion for it. And necessity about education appeared high in subjects. There are a lot of interests in health educator system(p=0.000). Conclusion: We thought that interest of dental technology student's rise more.

Theoretical Aspects of Blockchain Technologies in The Sphere of Education

  • Liashkevych, Antonina;Babyshena, Mariana;Vorokhaev, Oleksandr;Pylypiv, Volodymyr;Oliinyk, Oksana;Kinakh, Nelia
    • International Journal of Computer Science & Network Security
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    • v.21 no.3
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    • pp.185-190
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    • 2021
  • The article provides a literary and analytical review in the following areas of search: problems and prerequisites for changes in the field of education, innovations and innovative models in education, the use of new technologies in teaching. A proposal for a business plan and accompanying documentation for a new methodology based on blockchain technologies were developed, to assess the economic efficiency of the project. The main systems of the new model were modeled on the basis of the proposed methodology, to develop a prototype based on the project documentation.